Area of research
Infectious Diseases · Molecular Biology
Research interest
Research interests include SARS-CoV-2 and COVID-19 Research, COVID-19 Clinical Research Studies, Inflammasome and immune disorders, and SARS-CoV-2 detection and testing.
Mitigating radiation-induced brain injury via NLRP3/NLRC4/Caspase-1 pyroptosis pathway: Efficacy of memantine and hydrogen-rich water
ACT001 Ameliorates ionizing radiation-induced lung injury by inhibiting NLRP3 inflammasome pathway
Structural and functional basis for pan-CoV fusion inhibitors against SARS-CoV-2 and its variants with preclinical evaluation
The Impact of Mutations in SARS-CoV-2 Spike on Viral Infectivity and Antigenicity
Pathological study of the 2019 novel coronavirus disease (COVID-19) through postmortem core biopsies
Establishment and validation of a pseudovirus neutralization assay for SARS-CoV-2
Quantification of SARS-CoV-2 neutralizing antibody by a pseudotyped virus-based assay
Evolving status of the 2019 novel coronavirus infection: Proposal of conventional serologic assays for disease diagnosis and infection monitoring
The role of NO in COVID-19 and potential therapeutic strategies
The novel protective role of P27 in MLN4924-treated gastric cancer cells
Phosphorylation of Angiomotin by Lats1/2 Kinases Inhibits F-actin Binding, Cell Migration, and Angiogenesis
Induction of autophagy and senescence by knockdown of ROC1 E3 ubiquitin ligase to suppress the growth of liver cancer cells
Collaborative Research: III: Small: Towards A Computational Foundation of Post-Pandemic Network Science of Team
III: SMALL: Graph Contrastive Learning for Few-Shot Node Classification
III: Small: Discovering and Characterizing Implicit Links in Graph Data
III: Small: Transforming Feature Selection to Harness the Power of Social Media
NSF Conference Sponsorship for the Third International Conference on Social Computing, Behavioral Modeling, and Prediction
NSF Workshop Sponsorship for the Second International Workshop on Social Computing, Behavioral Modeling, and Prediction
III-COR-Small: Beyond Feature Selection and Extraction - An Integrated Framework for High-Dimensional Data of Small Labeled Samples
SGER: Toward a Unifying Taxonomy for Feature Selection